Dataset Versions
Versions
2024-10-20 1:01pm
v20
· a month ago
doesn-t detect
v19
· a month ago
also doesn-t detect
v18
· a month ago
also also doesn-t detect
v17
· a month ago
Vyomi - V1 doesn-t detect
v16
· a month ago
Jonah - Version 2
v7
· a month ago
Shreya -V2 -GOAT-
v5
· a month ago
Jonah - Version 1
v4
· a month ago
Version 3
v3
· a month ago
Version 2
v2
· a month ago
v7
Jonah - Version 2
Generated on Oct 19, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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2200 Total Images
View All Images
Dataset Split
Train Set 95%
2100Images
Valid Set 3%
70Images
Test Set 1%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%